Guess who? Enriching the social graph through a crowdsourcing game

Ido Guy, Adam Perer, Tal Daniel, Ohad Greenshpan, Itai Turbahn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

29 Scopus citations

Abstract

Despite the tremendous popularity of social network sites both on the web and within enterprises, the relationship information they contain may be often incomplete or outdated. We suggest a novel crowdsourcing approach that uses a game to help enrich and expand the social network topology. The game prompts players to provide the names of people who have a relationship with individuals they know. The game was deployed for a one-month period within a large global organization. We provide an analysis of the data collected through this deployment, in comparison with the data from the organization's social network site. Our results indicate that the game rapidly collects large volumes of valid information that can be used to enrich and reinforce an existing social network site's data. We point out other aspects and benefits of using a crowdsourcing game to harvest social network information.

Original languageEnglish
Title of host publicationCHI 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts
Pages1373-1382
Number of pages10
DOIs
StatePublished - 13 Jun 2011
Externally publishedYes
Event29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011 - Vancouver, BC, Canada
Duration: 7 May 201112 May 2011

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011
Country/TerritoryCanada
CityVancouver, BC
Period7/05/1112/05/11

Keywords

  • Crowdsourcing
  • Games
  • Human computation
  • Social networks

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